2012 IEEE International Conference on Computational Photography (ICCP)最新文献

Variable focus video: Reconstructing depth and video for dynamic scenes 可变焦点视频:动态场景的深度和视频重建

2012 IEEE International Conference on Computational Photography (ICCP) Pub Date : 2012-04-28 DOI: 10.1109/ICCPhot.2012.6215219

Nitesh Shroff, A. Veeraraghavan, Yuichi Taguchi, Oncel Tuzel, Amit K. Agrawal, R. Chellappa

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引用次数: 17

Fourier Slice Super-resolution in plenoptic cameras 全光学相机的傅里叶切片超分辨率

2012 IEEE International Conference on Computational Photography (ICCP) Pub Date : 2012-04-28 DOI: 10.1109/ICCPhot.2012.6215210

F. Pérez, Alejandro Pérez, Manuel Rodríguez, E. Magdaleno

{"title":"Fourier Slice Super-resolution in plenoptic cameras","authors":"F. Pérez, Alejandro Pérez, Manuel Rodríguez, E. Magdaleno","doi":"10.1109/ICCPhot.2012.6215210","DOIUrl":"https://doi.org/10.1109/ICCPhot.2012.6215210","url":null,"abstract":"Plenoptic cameras are a promising solution to increase the capabilities of current commercial cameras because they capture the four-dimensional lightfield of a scene. Processing the recorded lightfield, these cameras offer the possibility of focusing the scene after the shot or obtaining 3D information. Conventional photographs focused on determined planes can be obtained through projections of the four-dimensional lightfield onto two spatial dimensions. These photographs can be efficiently computed using the Fourier Slice technique but their resolution is usually less than 1% of the full resolution of the camera sensor. Several super-resolution methods have been recently developed to increase the spatial resolution of plenoptic cameras. In this paper we propose a new super-resolution method based on the Fourier Slice technique. We show how several existing super-resolution methods can be seen as particular cases of this approach. Besides the theoretical interest of this unified view, we also show how to obtain simultaneously spatial and depth super-resolution removing the limitations of previous approaches.","PeriodicalId":169984,"journal":{"name":"2012 IEEE International Conference on Computational Photography (ICCP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134644456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 26

Calibration-free rolling shutter removal 无需校准的卷帘门拆卸

2012 IEEE International Conference on Computational Photography (ICCP) Pub Date : 2012-04-28 DOI: 10.1109/ICCPhot.2012.6215213

Matthias Grundmann, Vivek Kwatra, Daniel Castro, Irfan Essa

引用次数: 177

Flutter Shutter Video Camera for compressive sensing of videos 用于视频压缩感知的颤振快门摄像机

2012 IEEE International Conference on Computational Photography (ICCP) Pub Date : 2012-04-28 DOI: 10.1109/ICCPhot.2012.6215211

Jason Holloway, Aswin C. Sankaranarayanan, A. Veeraraghavan, S. Tambe

{"title":"Flutter Shutter Video Camera for compressive sensing of videos","authors":"Jason Holloway, Aswin C. Sankaranarayanan, A. Veeraraghavan, S. Tambe","doi":"10.1109/ICCPhot.2012.6215211","DOIUrl":"https://doi.org/10.1109/ICCPhot.2012.6215211","url":null,"abstract":"Video cameras are invariably bandwidth limited and this results in a trade-off between spatial and temporal resolution. Advances in sensor manufacturing technology have tremendously increased the available spatial resolution of modern cameras while simultaneously lowering the costs of these sensors. In stark contrast, hardware improvements in temporal resolution have been modest. One solution to enhance temporal resolution is to use high bandwidth imaging devices such as high speed sensors and camera arrays. Unfortunately, these solutions are expensive. An alternate solution is motivated by recent advances in computational imaging and compressive sensing. Camera designs based on these principles, typically, modulate the incoming video using spatio-temporal light modulators and capture the modulated video at a lower bandwidth. Reconstruction algorithms, motivated by compressive sensing, are subsequently used to recover the high bandwidth video at high fidelity. Though promising, these methods have been limited since they require complex and expensive light modulators that make the techniques difficult to realize in practice. In this paper, we show that a simple coded exposure modulation is sufficient to reconstruct high speed videos. We propose the Flutter Shutter Video Camera (FSVC) in which each exposure of the sensor is temporally coded using an independent pseudo-random sequence. Such exposure coding is easily achieved in modern sensors and is already a feature of several machine vision cameras. We also develop two algorithms for reconstructing the high speed video; the first based on minimizing the total variation of the spatio-temporal slices of the video and the second based on a data driven dictionary based approximation. We perform evaluation on simulated videos and real data to illustrate the robustness of our system.","PeriodicalId":169984,"journal":{"name":"2012 IEEE International Conference on Computational Photography (ICCP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131119810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 76

CS-MUVI: Video compressive sensing for spatial-multiplexing cameras CS-MUVI:用于空间复用摄像机的视频压缩感知

2012 IEEE International Conference on Computational Photography (ICCP) Pub Date : 2012-04-28 DOI: 10.1109/ICCPhot.2012.6215212

Aswin C. Sankaranarayanan, Christoph Studer, Richard Baraniuk

引用次数: 151

Contrast preserving decolorization 保持对比脱色

2012 IEEE International Conference on Computational Photography (ICCP) Pub Date : 2012-04-28 DOI: 10.1109/ICCPhot.2012.6215215

Cewu Lu, Li Xu, Jiaya Jia

引用次数: 113

Fast reactive control for illumination through rain and snow 快速反应控制照明通过雨雪

2012 IEEE International Conference on Computational Photography (ICCP) Pub Date : 2012-04-28 DOI: 10.1109/ICCPhot.2012.6215217

Raoul de Charette, R. Tamburo, P. Barnum, Anthony G. Rowe, T. Kanade, S. Narasimhan

引用次数: 26

Depth-aware motion deblurring 深度感知运动去模糊

2012 IEEE International Conference on Computational Photography (ICCP) Pub Date : 2012-04-28 DOI: 10.1109/ICCPhot.2012.6215220

Li Xu, Jiaya Jia

引用次数: 95

Depth coded shape from focus 深度编码形状从焦点

2012 IEEE International Conference on Computational Photography (ICCP) Pub Date : 2012-04-28 DOI: 10.1109/ICCPhot.2012.6215218

Martin Lenz, David Ferstl, M. Rüther, H. Bischof

引用次数: 2

Diffuse structured light 漫射结构光

2012 IEEE International Conference on Computational Photography (ICCP) Pub Date : 2012-04-28 DOI: 10.1109/ICCPhot.2012.6215216

S. Nayar, Mohit Gupta

引用次数: 55